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首页> 外文会议>International Symposium on Supercritical Fluids Tome 1: Natural Products, Process amp; Equipment Development; 20030428-20030430; Versailles; FR >DEVELOPMENT OF AN IN-LINE NIR MONITORING METHOD FOR SUPERCRITICAL CARBON DIOXIDE-BASED EXTRACTION PROCESSES
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DEVELOPMENT OF AN IN-LINE NIR MONITORING METHOD FOR SUPERCRITICAL CARBON DIOXIDE-BASED EXTRACTION PROCESSES

机译：基于超临界二氧化碳的萃取过程在线近红外监测方法的开发

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摘要

Supercritical carbon dioxide can be used for extraction processes like deoiling of glass and metal swarfs and metal parts polluted, e.g., with cutting oil from metalworking. For efficiently conducting the extraction process in-line monitoring is desirable and therefore a method using fiber-optic NIR spectroscopy in combination with PLS calibration has been developed. A calibration model was set up for the squalane-carbon dioxide system, where squalane was used as model compound for technical oils. The root mean-squared error obtained with this model is 6 mg cm~(-3) for carbon dioxide and 0.8 mg cm~(-3) for squalane, respectively. The predictive ability of this model compound PLS method has been tested for real cutting oil formulations of different type. The calibration proved to be suitable for determination of the oil concentration with an error of 1.2 mg cm~(-3). Therefore, it seems possible to apply this in-line analytical approach for the surveillance of real world deoiling process solutions and to establish an automated process termination criterion with this technique.
机译：超临界二氧化碳可用于萃取过程，例如对玻璃和金属切屑和被金属加工的切削油等污染的金属零件进行除油。为了有效地进行提取过程，在线监测是合乎需要的，因此，已经开发了一种使用光纤近红外光谱结合PLS校准的方法。建立了角鲨烷-二氧化碳系统的校准模型，其中角鲨烷用作工业用油的模型化合物。通过该模型获得的均方根误差对于二氧化碳为6 mg cm〜（-3），对于角鲨烷为0.8 mg cm〜（-3）。已针对不同类型的实际切削油配方测试了该模型化合物PLS方法的预测能力。证明该校准适合于确定油浓度，误差为1.2 mg cm〜（-3）。因此，似乎有可能将这种在线分析方法应用于现实世界中的除油过程解决方案的监视，并使用该技术建立自动的过程终止标准。

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